Top 10 variational-inference Open-Source Projects
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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Awesome-VAEs
A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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SelSum
Abstractive opinion summarization system (SelSum) and the largest dataset of Amazon product summaries (AmaSum). EMNLP 2021 conference paper.
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microbiome-mvib
Microbiome-based disease prediction with multimodal variational information bottlenecks, Grazioli et al., PLOS Computational Biology 2022
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vbmc
Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB (old location) (by lacerbi)
Mostly I use pytorch for statistical modeling https://pyro.ai . Under the hood that package uses a lot of Monte Carlo integration and variational methods (i.e. integration by optimization). It does support neural nets, but probably >80% of pyro users stick to simpler hierarchical Bayesian models.
Project mention: Machine learning for a mom with little time? | /r/learnmachinelearning | 2023-05-08https://github.com/fehiepsi/rethinking-numpyro https://xcelab.net/rm/statistical-rethinking/
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Index
What are some of the best open-source variational-inference projects? This list will help you:
Project | Stars | |
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1 | pyro | 8,356 |
2 | PyMC | 8,155 |
3 | GPflow | 1,794 |
4 | awesome-normalizing-flows | 1,300 |
5 | Awesome-VAEs | 755 |
6 | rethinking-numpyro | 427 |
7 | vbmc | 210 |
8 | SelSum | 44 |
9 | microbiome-mvib | 25 |
10 | vbmc | 2 |
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